Generative Ai In Software Development
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Generative Ai In Software Development
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Author : Jesse Sprinter
language : en
Publisher: Independently Published
Release Date : 2023-10-23
Generative Ai In Software Development written by Jesse Sprinter and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-23 with categories.
Discover the Future of Software Development Unlock the secrets of Artificial Intelligence and transform the way you develop software. "Generative AI in Software Development" is your essential guide to the latest AI techniques, demystified in clear, simple language. Whether you're a seasoned developer or a newcomer to coding, this book is your ticket to a brighter, more efficient future in software development.
Generative Ai For Effective Software Development
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Author : Anh Nguyen-Duc
language : en
Publisher: Springer Nature
Release Date : 2024-05-31
Generative Ai For Effective Software Development written by Anh Nguyen-Duc and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.
This book provides a comprehensive, empirically grounded exploration of how Generative AI is reshaping the landscape of software development. It emphasizes the empirical evaluation of Generative AI tools in real-world scenarios, offering insights into their practical efficacy, limitations, and impact. By presenting case studies, surveys, and interviews from various software development contexts, the book offers a global perspective on the integration of Generative AI, highlighting how these advanced tools are adapted to and influence diverse cultural, organizational, and technological environments. This book is structured to provide a comprehensive understanding of Generative AI and its transformative impact on the field of software engineering. The book is divided into five parts, each focusing on different aspects of Generative AI in software development. As an introduction, Part 1 presents the fundamentals of Generative AI adoption. Part 2 is a collection of empirical studies and delves into the practical aspects of integrating Generative AI tools in software engineering, with a focus on patterns, methodologies, and comparative analyses. Next, Part 3 presents case studies that showcase the application and impact of Generative AI in various software development contexts. Part 4 then examines how Generative AI is reshaping software engineering processes, from collaboration and workflow to management and agile development. Finally, Part 5 looks towards the future, exploring emerging trends, future directions, and the role of education in the context of Generative AI. The book offers diverse perspectives as it compiles research and experiences from various countries and software development environments. It also offers non-technical discussions about Generative AI in management, teamwork, business and education. This way, it is intended for both researchers in software engineering and for professionals in industry who want to learn about the impactof Generative AI on software development.
Generative Ai In Software Engineering
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Author : Aguilar-Calderón, José Alfonso
language : en
Publisher: IGI Global
Release Date : 2025-06-13
Generative Ai In Software Engineering written by Aguilar-Calderón, José Alfonso and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Computers categories.
Generative AI transforms the landscape of software engineering, enabling automation, creativity, and efficiency throughout development. By leveraging advanced machine learning models, like large language models and code generation tools, developers can automate code generation, streamline testing, and design software architectures. This shift accelerates development timelines and redefines the roles of engineers and the skills required in modern software teams. As generative AI evolves, its integration into software engineering raises important questions around reliability, security, and human-AI collaboration. Generative AI in Software Engineering explores the evolving role of generative AI in the software engineering landscape. It examines how AI accelerates software development, reduces costs, and enhances creativity, offering real-world benefits for businesses. This book covers topics such as quantum computing, visual intelligence, and environment science, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists.
From Code To Consciousness Leveraging Ai In Software Development
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Author : Bhanuprakash Madupati
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2025-03-30
From Code To Consciousness Leveraging Ai In Software Development written by Bhanuprakash Madupati and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-30 with Young Adult Nonfiction categories.
From Code to Consciousness explores the transformative role of artificial intelligence in reshaping software development, from automating routine tasks to enabling autonomous, self-improving systems. This comprehensive guide delves into the foundational AI technologies—machine learning, deep learning, and natural language processing—and their applications in coding, debugging, testing, and deployment. Through real-world case studies and cutting-edge research, the book examines the ethical, security, and practical challenges of AI-driven development while envisioning a future where human creativity and machine intelligence collaborate seamlessly. Whether you're a developer, engineer, or tech enthusiast, this book offers invaluable insights into the evolving landscape of software engineering and the profound implications of AI's rise from mere code to near-cognitive capabilities. Key Themes: AI's impact on coding, testing, and DevOps Ethical dilemmas and security risks in AI-driven development The future of autonomous software and human-AI collaboration Case studies from healthcare, fintech, and e-commerce Ideal for: Software professionals, AI researchers, and anyone curious about the intersection of technology and consciousness.
Boosting Software Development Using Machine Learning
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Author : Tirimula Rao Benala
language : en
Publisher: Springer Nature
Release Date : 2025-05-23
Boosting Software Development Using Machine Learning written by Tirimula Rao Benala and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.
This book explores the transformative effects of AI and ML on software engineering. It emphasizes the potential of cutting-edge software development technologies such as Generative AI and ML applications. This book incorporates data-driven strategies across the entire software development life cycle, from requirements elicitation and design to coding, testing, and deployment. It illustrates the evolution from traditional frameworks to agile and DevOps methodologies. The potential of Generative AI for automating repetitive tasks and enhancing code quality is highlighted, along with ML applications in optimizing testing, effort estimation, design pattern recognition, fault prediction, debugging, and security through anomaly detection. These techniques have significantly improved software development efficiency, predictability, and project management effectiveness. While remarkable progress has been made, much remains to be done in this evolving area. This edited book is a timely effort toward advancing the field and promoting interdisciplinary collaboration in addressing ethical, security, and technical challenges.
Artificial Intelligence For Cloud Native Software Engineering
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Author : Chelliah, Pethuru Raj
language : en
Publisher: IGI Global
Release Date : 2025-05-07
Artificial Intelligence For Cloud Native Software Engineering written by Chelliah, Pethuru Raj and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Computers categories.
Artificial intelligence is transforming software engineering by automating development, testing, deployment, and security processes, leading to more efficient and high-quality software solutions. AI-powered tools enhance scalability, reliability, and real-time analytics, enabling businesses to optimize operations and improve decision-making. As cloud-native architectures gain traction, AI-driven innovations are reshaping the way software is designed, maintained, and evolved, driving a new era of intelligent and adaptive technology solutions. Artificial Intelligence for Cloud-Native Software Engineering explores the transformative impact of AI on the software engineering lifecycle, highlighting its role in automating and enhancing various stages of software development. It provides a comprehensive overview of how AI technologies can assist software architects and engineers in creating high-quality, enterprise-grade software efficiently. Covering topics such as source code creation, data security, and multiparameter optimization, this book is an excellent resource for software engineers, computer scientists, professionals, researchers, scholars, academicians, and more.
Ai Strategies For Web Development
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Author : Anderson Soares Furtado Oliveira
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-09-30
Ai Strategies For Web Development written by Anderson Soares Furtado Oliveira and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-30 with Computers categories.
From fundamental to advanced strategies, unlock useful insights for creating innovative, user-centric websites while navigating the evolving landscape of AI ethics and security Key Features Explore AI's role in web development, from shaping projects to architecting solutions Master advanced AI strategies to build cutting-edge applications Anticipate future trends by exploring next-gen development environments, emerging interfaces, and security considerations in AI web development Purchase of the print or Kindle book includes a free PDF eBook Book Description If you're a web developer looking to leverage the power of AI in your projects, then this book is for you. Written by an AI and ML expert with more than 15 years of experience, AI Strategies for Web Development takes you on a transformative journey through the dynamic intersection of AI and web development, offering a hands-on learning experience.The first part of the book focuses on uncovering the profound impact of AI on web projects, exploring fundamental concepts, and navigating popular frameworks and tools. As you progress, you'll learn how to build smart AI applications with design intelligence, personalized user journeys, and coding assistants. Later, you'll explore how to future-proof your web development projects using advanced AI strategies and understand AI's impact on jobs. Toward the end, you'll immerse yourself in AI-augmented development, crafting intelligent web applications and navigating the ethical landscape.Packed with insights into next-gen development environments, AI-augmented practices, emerging realities, interfaces, and security governance, this web development book acts as your roadmap to staying ahead in the AI and web development domain. What you will learn Build AI-powered web projects with optimized models Personalize UX dynamically with AI, NLP, chatbots, and recommendations Explore AI coding assistants and other tools for advanced web development Craft data-driven, personalized experiences using pattern recognition Architect effective AI solutions while exploring the future of web development Build secure and ethical AI applications following TRiSM best practices Explore cutting-edge AI and web development trends Who this book is for This book is for web developers with experience in programming languages and an interest in keeping up with the latest trends in AI-powered web development. Full-stack, front-end, and back-end developers, UI/UX designers, software engineers, and web development enthusiasts will also find valuable information and practical guidelines for developing smarter websites with AI. To get the most out of this book, it is recommended that you have basic knowledge of programming languages such as HTML, CSS, and JavaScript, as well as a familiarity with machine learning concepts.
Agile Processes In Software Engineering And Extreme Programming
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Author : Sibylle Peter
language : en
Publisher: Springer Nature
Release Date : 2025-05-28
Agile Processes In Software Engineering And Extreme Programming written by Sibylle Peter and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Computers categories.
This open access book constitutes the proceedings of the 26th International Conference on Agile Software Development, XP 2025, which took place in Brugg-Windisch, Switzerland, during June 2-5, 2025. XP is the premier agile software development conference combining research and practice. It is a unique forum where agile researchers, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends. XP conferences provide an informal environment to learn and trigger discussions and welcome both people new to agile and seasoned agile practitioners. The theme for 2025 was "Adapt - Uncovering better ways to deliver valuable software products". The 13 full papers and 4 short papers included in the proceedings were carefully reviewed and selected from 46 submissions. They were organized in topical sections as follows: Leadership and culture; business agility; engineering; and product and design.
Agile Processes In Software Engineering And Extreme Programming
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Author : Darja Šmite
language : en
Publisher: Springer Nature
Release Date : 2024-05-30
Agile Processes In Software Engineering And Extreme Programming written by Darja Šmite and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-30 with Computers categories.
This open access book constitutes the proceedings of the 25th International Conference on Agile Software Development, XP 2024, which took place in Bozen-Bolzano, Italy, during June 04-07, 2024. XP is the premier agile software development conference combining research and practice. It is a unique forum where agile researchers, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends. XP conferences provide an informal environment to learn and trigger discussions and welcome both people new to agile and seasoned agile practitioners. This year’s conference was held with the theme “Reflect, Adapt, Envision”. The 10 full and 2 short papers included in these proceedings were carefully reviewed and selected from 32 submissions. They were organized in topical sections as follows: agile at scale; value and quality in agile; and people and teams in agile.
Artificial Intelligence In Hci
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Author : Helmut Degen
language : en
Publisher: Springer Nature
Release Date : 2024-05-31
Artificial Intelligence In Hci written by Helmut Degen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.
The three-volume book set LNAI 14734, 14735, and 14736 constitutes the refereed proceedings of 5th International Conference on Artificial Intelligence in HCI, AI-HCI 2024, held as part of the 26th International Conference, HCI International 2024, which took place in Washington, DC, USA, during June 29-July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The AI-HCI 2024 proceedings were organized in the following topical sections: Part I: Human-centered artificial intelligence; explainability and transparency; AI systems and frameworks in HCI; Part II: Ethical considerations and trust in AI; enhancing user experience through AI-driven technologies; AI in industry and operations; Part III: Large language models for enhanced interaction; advancing human-robot interaction through AI; AI applications for social impact and human wellbeing.